KAVAUSDT Long-Term Accumulation/Distribution Strategy

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KAVAUSDT is presenting a compelling opportunity for long-term accumulation and distribution. With an entry price range between $0.65 to $0.4 and a target price of $5, this strategy aims for substantial returns over time.

Weekly charts reveal a significant increase in volume over time, indicating strong accumulation. This accumulation phase suggests underlying strength in the asset, making it an attractive opportunity for investors seeking long-term growth.

Risk Management:
To mitigate risk, consider allocating 1-5% of your portfolio at higher price levels, increasing to 5-10% and 10-20% as prices decline. By diversifying your investments and managing risk levels accordingly, you can navigate market fluctuations effectively.
Note: split your major money like if you have 1000$, split it into 10 parts so each trade has 100$ allocation, now use that 100$ to buy in 1-5%, 5-10% & 10-20% respectively.

With a strategic long-term approach and diligent risk management, KAVAUSDT offers the potential for substantial returns. Remember to think long-term to build sustainable wealth and capitalize on the opportunities presented by this asset.
註釋
KAVA Open Position: 1500 KAVA
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註釋
#UPDATE OPEN POSITION - KAVAUSDT
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註釋
#UPDATE OPEN POSITION - KAVAUSDT
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註釋
#UPDATE OPEN POSITION - KAVAUSDT
Bit deep in kava , but am sure this beat will not disappoint me
#accumulate #distribute
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交易進行
#UPDATE OPEN POSITION - KAVAUSDT
Bit deep in kava , but am sure this beat will not disappoint me
#accumulate #distribute

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交易結束:目標達成
#PATIENCE #PAYS

CANT UPDATE IDEAS ANYMORE, YOU WONT SEE THE Trade Active STATUS
Somehow Trading Active option aint available for me (may be due to long term, the trade was opened in march 24), so forcefully closing this trade here and will open New charts for the same!

Trade active
#UPDATE OPEN POSITION - KAVAUSDT
Bit deep in kava , but am sure this beat will not disappoint me
#accumulate #distribute
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Beyond Technical AnalysisChart PatternskavaKAVAUSDTkavausdtbinancekavausdtlongTrend Analysis

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